Octigen's co-founders ran our technical client and fund reporting setup for over a year: operations, error handling, continuous improvements, and even onboarding our own people. What stood out was the mix of real engineering skill, a genuine grasp of asset-management reporting, and how dependable everything was.
AI alone is not the answer.
We get to the bottom of your processes and engineer ultra-lean solutions
that actually deliver value.
Octigen helps you make efficient use of the data you already have. By mapping how your company really operates, we introduce systematic pipelines - splitting tasks into human input, automations, and AI assistance.
Map the work. Split it. Then build.
Teams are asked to do something with AI. Buying a copilot or an agent on top of a messy process rarely makes the organisation smaller or faster. It usually adds complexity & cost.
Repeatable work
If the correct outcome is always determined, Octigen builds an automation as part of your pipeline. You can open it, adapt it, and run it again with new data.
Work that needs a person
If the answer depends on judgment, AI can help draft. A named person still reviews and is accountable.
A proven team
Finance is where we have already run the function. The method is the same in other industries: map the work, split it, then build the system.
Michel Müller
Co-Founder & CEOMichel is the architect behind Octigen's core engine. With a PhD in high-performance computing and over 15 years of software architecture experience, he's built systems that process millions of data points in milliseconds.
At his previous employer, Michel led the BI & Reporting team for nearly 5 years, designing data orchestration platforms and document generation systems.
Kevin Graziani
Co-Founder & CFOKevin lived the pain of manual reporting in the front offices of Europe's largest banks. At his previous roles at Credit Suisse Investment Bank and UBS Asset Management, he spent countless hours turning data into client-facing materials.
With dual Master's degrees in Quantitative Techniques and Corporate Finance (with Honours), Kevin combines analytical rigor with a deep understanding of what finance professionals need.
Companies that hired us to do the work
We brought in Octigen's founders to challenge our data and reporting architecture. In a short engagement they gave us more clarity than we had expected, combining deep asset-management operations know-how with a rare ability to make complex data topics tangible and actionable. Their input didn't just confirm our direction, it sharpened it.
We built a product with the same method
Octigen Reporting turns recurring reports, factsheets and client decks into a pipeline that runs on your own PowerPoint templates.
AI sets it up
AI reads the template, proposes how the data maps to each chart and table, and drafts the pipeline. An analyst reviews it once.
Software runs it
Every later run is deterministic. The same data always produces the same document, with no model involved.
You can inspect it
The pipeline is open to the people who own the report. They can see where a number comes from and change the layout themselves.
Most AI projects start with a tool.
Consultants nowadays do not come to solve problems, they come to sell tools.
At Octigen, we start with the work.
Only by understanding what the company really does, we can build the right solutions.
A tailored plan before commitment
Assessment
You pick one process area. After 20 hours you get a written report: how the work actually runs, what should become a pipeline, where a person must stay in charge, what we should not touch, and the highest-value next steps.
Deep Optimization
We cover more of the company’s processes and implement the technical solutions. AI only where it survived the Assessment.
Request the Assessment
Tell us the process that hurts and we will say whether an Assessment is the right first step.